scholarly journals Predictive factors of posttreatment fracture by definitive radiotherapy for uterine cervical cancer

2020 ◽  
Author(s):  
Kazuki Ishikawa ◽  
Tsuneo Yamashiro ◽  
Takuro Ariga ◽  
Takafumi Toita ◽  
Wataru Kudaka ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Cervical Cancer ◽  
Multivariate Analysis ◽  
Radiation Therapy ◽  
Cancer Patients ◽  
Clinical Characteristics ◽  
Univariate Analysis ◽  
Uterine Cervical Cancer

Abstract Purpose Fractures are known to shorten life expectancy and worsen the quality of life. The risk of fractures after radiation therapy in cervical cancer patients is known to be multifactorial. In this study, we examined risk factors for fractures in cervical cancer patients, especially by evaluating bone densities and DVH parameters for fractured bones. Materials and Methods For 42 patients, clinical characteristics, pretreatment CT bone densities, and radiation dose were compared between patients with and without fractures. Results Posttreatment fractures occurred in 25 bones among ten patients. Pretreatment CT bone densities were significantly lower in patients with fractures (P < 0.05–0.01 across sites, except for the ilium and the ischium). Although DVH parameters were also significantly associated with fractures in univariate analysis, only CT densities were significantly associated with fractures in multivariate analysis. Conclusion Pretreatment CT densities of spinal and pelvic bones, which may reflect osteoporosis, have a significant impact on the risk for posttreatment fractures.

scholarly journals A prospective study of quality of life in breast cancer patients undergoing radiation therapy

2017 ◽  
Vol 1 (1) ◽  
pp. 9
Author(s):  
Canhua Xiao ◽  
Andrew H. Miller ◽  
Mylin A. Torres
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Risk Factors ◽  
Radiation Therapy ◽  
Cancer Patients ◽  
Perceived Stress ◽  
Breast Cancer Patients ◽  
Sf 36 ◽  
A Prospective Study

Abstract Purpose: The purpose of this study was to examine the impact of radiation therapy on quality of life (QOL) of breast cancer patients during and until 1 year after radiation therapy treatment. Methods and materials: Thirty-nine breast cancer patients treated with breast-conserving surgery were enrolled in a prospective study before whole breast radiation therapy (50 Gy plus a 10-Gy boost). No patient received chemotherapy. Data were collected before, at week 6 of radiation therapy, and 6 weeks and 1 year after radiation therapy. The primary outcome variable was quality of life (QOL), measured by Medical Outcomes Study 36-Item Short Form Version 2 (SF-36). Risk factors potentially associated with total SF-36 scores and its physical and mental health component summary scores were also examined, including age, race, marital status, smoking history, menopausal status, endocrine treatment, cancer stage, sleep abnormalities (assessed by the Pittsburgh Sleep Quality Index), and perceived stress levels (assessed by the Perceived Stress Scale). Mixed effect modeling was used to observe QOL changes during and after radiation therapy. Results: Total SF-36 scores did not change significantly during and up to 1 year after radiation therapy compared with baseline measures. Nevertheless, increased body mass index (BMI) and increased perceived stress were predictive of reduced total SF-36 scores over time (P Z .0064, and P < .0001, respectively). In addition, increased BMI was predictive of reduced physical component summary scores of the SF-36 (P Z .0011), whereas increased perceived stress was predictive of worse mental component summary scores (P < .0001). Other proposed potential risk factors including skin toxicity from radiation therapy were not significant. Conclusions: Radiation therapy did not worsen QOL in breast cancer patients. However, preradiation therapy patient characteristics including BMI and perceived stress may be used to identify women who may experience decreased physical and mental function during and up to 1 year after radiation therapy. Copyright 2016 the Authors. Published by EJCS on behalf of Uptodate In Medicine LLC Health Sciences Publishing. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

scholarly journals Factors affecting quality of life of cervical cancer patients: A multivariate analysis

2019 ◽  
Vol 15 (6) ◽  
pp. 1338 ◽  
Author(s):  
ManjuLata Verma ◽  
Uma Singh ◽  
Zakia Rahman ◽  
Sabuhi Qureshi ◽  
Kirti Srivastava
Keyword(s):  
Quality Of Life ◽  
Cervical Cancer ◽  
Multivariate Analysis ◽  
Cancer Patients ◽  
Factors Affecting

Depression in women breast cancer patients receiving radiation therapy: A pilot study.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12546-e12546
Author(s):  
Fang Chen ◽  
Hao Yu ◽  
Caining Zhao ◽  
Fan Zhang ◽  
Yaqing Nong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Risk Factors ◽  
Radiation Therapy ◽  
Cancer Patients ◽  
Menopausal Status ◽  
Adjuvant Radiation ◽  
Breast Cancer Patients ◽  
N Stage

e12546 Background: The purpose of this study is to study depression and its risk factors at baseline and explore the changes of depression status during the course of radiation therapy in breast patients. Methods: This is part of a prospective study of treatment toxicity and quality of life. Breast cancer patients, aged 18-year old and above requiring adjuvant radiation therapy were eligible. The primary endpoint depression was assessed by a self-addressed “depression” questionnaires according to NCI “PROMIS”. The Questionnaires were completed one day prior to, during and at the end of treatment. Patient, tumor and prior treatment factors were collected. Cancer specific symptoms were collected by treating physicians and graded according to NIH/NCI CTCAE v4.0. The variables of our interest included age, menopausal status, N-stage,pathology stage, immunohistochemisty, surgical approaches,margin,prior treatments and radiation models. Data are presented as mean (95% confidence interval) unless otherwise specified. Statistical significances were tested using generalized linear model, pearson correlation and t-text. Ps less than 0.05 were considered to be significant. Results: Between July 2019 and January 2020, a total of 185 patients enrolled and completed the PROMIS questionaires. Before RT commencement, 50/185 (27.0%) had some levels of depressive feeling including 40/185 (21.6%), 10/185 (5.4%), and 0/185 (0%) patients for “rarely” (score = 5-8), “sometimes” (score = 9-12), “often” (score = 13-16), and “always” (score 17-20), respectively. Interestingly, N stage and pathology staging group were significantly associated with the depression at baseline while age, menopausal status, immunohistochemistry, previous chemo cycles, chemo regimens and anti-Her2 taget therapy were not. At the end of RT, 51/149 (34.2%) patients had depression level changed, though the absolute lumped scores of depression did not change significantly (p = 0.437). Changes in depression during were significantly associated with menopausal status (p = 0.015) while grade 2 and above toxicities were not (p = 0.421). Conclusions: Depression feeling is not uncommon in breast patients receiving adjuvant radiation. Future study may identify patients with depression and associated risk factors so that proper intervention may be applied to improve long-term survival and quality of life in patients.

scholarly journals P1530QUALITY OF LIFE AND MORTALITY IN PATIENTS UNDERGOING HEMODIALYSIS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Gun Woo Kang ◽  
Seoung Gyu Kim ◽  
In Hee Lee ◽  
Ki Sung Ahn
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Coronary Heart Disease ◽  
Multivariate Analysis ◽  
Univariate Analysis ◽  
Health Domain ◽  
The Mean ◽  
The Relationship ◽  
Physical Health Domain

Abstract Background and Aims The mortality of patients with end-stage renal disease (ESRD) undergoing hemodialysis (HD) is higher than the general population. And it is well known that quality of life (QOL) falls immediately after receiving HD. However, studies on the relationship between reduced QOL and mortality in HD patients were very rare. This study aims to observe the correlation between impaired QOL and mortality in HD patients and to identify risk factors that affect mortality. Method The study included 160 patients with ESRD undergoing HD during over 3 months. The QOL was evaluated using WHO Quality of Life-BREF (WHOQOL-BREF). The WHOQOL-BREF instrument comprises 26 items, which measure the following four domains: physical health (domain 1), psychological health (domain 2), social relationships (domain 3), and environment (domain 4). Univariate analysis was used to determine the relationship between comorbidities, sex, age, laboratory findings, and QOL and mortality in HD patients. Multivariate analysis was performed by cox proportional hazard regression. Expected survival at 5 and 10 years was determined by two-sample t-tests. Results The mean age was 58.1 years old. 95 patients (59.7%) received HD due to diabetes mellitus. 42 patients (26.4%) had been diagnosed with coronary heart disease. In univariate analysis, age, coronary heart disease, malignancy, comorbidities, and blood calcium level were positively correlated with mortality. In particular, the domain 1 and 2 of WHOQOL-BREF were negatively associated with mortality. The mean scores of domain 1 and 2 was 18.2±5.2 and 15.9±4.5 for survivors and 15.5±5.7 and 13.7±4.9 for deaths. Multivariate analysis identified the age, comorbidity, serum calcium, and domain 1 of WHOQOL-BREF were independent risk factors for mortality (Table 1). Additionally, predicting 5- and 10- year survival, mortality was correlation with older age, higher Charlson Comorbidity Index, lower serum calcium, and lower domain 1 of WHOQOL-BREF (Table 2). Conclusion The impaired QOL of patients with ESRD undergoing HD was closely related to mortality. In particular, low QOL in physical health domain significantly increased mortality. Therefore, in order to improve the survival of HD patients, we should be considered about QOL as well as medical problems

scholarly journals Risk Factors of Deterioration in Quality of Life Scores in Thyroid Cancer Patients After Thyroidectomy

2019 ◽  
Vol Volume 11 ◽  
pp. 10593-10598 ◽  
Author(s):  
Jie Li ◽  
Ling Bo Xue ◽  
Xiao Yi Gong ◽  
Yan Fang Yang ◽  
Bu Yong Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Thyroid Cancer ◽  
Cancer Patients

scholarly journals Quality of Life and Psychological Distress during Cancer: A Prospective Observational Study Involving Liver Cancer Patients

2021 ◽  
pp. 576-585
Author(s):  
Madeeha Malik ◽  
Iqra Parveen Kiyani ◽  
Shazana Rana ◽  
Azhar Hussain ◽  
Muhammad Bin Aslam Zahid
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Liver Cancer ◽  
Medical History ◽  
Cancer Patients ◽  
Study Design ◽  
Negative Impact ◽  
Past Medical History ◽  
Symptom Scale

Introduction: Liver Cancer is aggressive cancer and patients are mostly screened and diagnosed when they become symptomatic at advanced. Disease severity, depression, fatigue, joint pain, and poor appetite have been reported as strong determinants of quality of life (QoL) among liver cancer patients. Aims: The objective of the study was to assess the quality of life and depression among liver cancer patients in Pakistan. Study Design:  A descriptive cross-sectional study design was used. Place and Duration of Study: The study was conducted in healthcare facilities of Islamabad and Rawalpindi, Pakistan between June 2020-December 2020. Methodology: Two pre-validated questionnaires i.e. EORTC QLQ-C30 and HADS were self-administered to a sample of 100 liver cancer patients selected using a convenience sampling technique for measuring QoL and depression, respectively. After data collection, data was cleaned, coded, and entered in SPSS. Results: The results highlighted that the lowest scores observed in the domain of symptom scale were: Nausea and Vomiting (23.72, ± 28.238), Dyspnea (25.27, ± 26.90), Constipation (26.03, ± 34.75) followed by Diarrhea (22.63, ± 28.42), whereas highest scores in the symptom scale were observed in the domain of fatigue (37.69, ± 20.06), pain (40.37, ± 18.44), insomnia (41.65, ± 32.37) and financial difficulties (60.33, ± 33.830). On the other hand, highest score on the functional scale was observed for physical functioning (64, ± 21.76) and the lowest score was observed in social functioning (53.19, ± 20.66). Conclusion: The present study concluded that liver cancer had a negative impact on risk factors/past medical history, co-morbidities, and poor socio-economic of life across all domains along with moderate depression in liver cancer patients. Illiteracy, advanced liver cancer stage, risk factors/past medical history, co-morbidities and poor socio-economic status negatively affected functional and symptom scale. Appropriate health educational and psychological interventional programs targeting patients should be initiated to improve awareness and reduce depression among liver cancer patients.

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